AI Rust Engineer - Remote

AI Rust Engineer Remote (American or European time zones)

 

UMATR is partnering with a well-backed developer tools company to hire an AI Rust Engineer into their engineering team.

 

Our client is building AI-native workflows for software engineers. Most AI coding tools today operate on prompts and frozen snapshots of source code, but real engineering happens inside large, living codebases that change constantly through edits, refactors, reviews, and conversation. The team is building AI systems that sit inside that environment and reason about code the way engineers actually experience it, as something that evolves rather than something static.

 

A core piece of the platform records the operational history of development as it happens, capturing edits, discussions, and AI interactions so that models can reason about how code arrived at its current state, not just what it currently says. The work sits at the crossroads of AI systems, developer tooling, and real-time collaboration.

 

The company is backed by top-tier global investors and experienced operators from some of the world's leading tech companies, and works closely with an engaged community of developers who care about the craft of their tools.

 

This role is about shaping how AI understands large, evolving codebases. You'll build the infrastructure that feeds models the right context and design the evaluation loops that tell you whether their suggestions are actually improving the software. Many of the questions in this space don't yet have settled answers, and part of the job is designing and testing new approaches inside real developer workflows.

 

What You'll Do

• Design systems that let AI participate directly in real developer workflows
• Build the infrastructure that connects language models to the editor and surrounding tooling
• Develop context systems that help models reason about large, complex codebases
• Design evaluation frameworks that measure whether AI-assisted development is genuinely helping engineers
• Improve the reliability, latency, and cost efficiency of AI features in production
• Collaborate closely with editor and infrastructure engineers to get ideas shipped quickly
• Pair program with teammates to explore and refine systems together

 

What We're Looking For

• Hands-on experience building production systems powered by large language models
• A strong grasp of model behaviour, prompting, and evaluation
• A track record of integrating AI capabilities into real shipped software
• Solid backend or systems programming experience
• Genuine interest in developer tools and programming environments
• Experience with Rust, or a real willingness to pick it up quickly
• Strong collaboration instincts, comfortable working closely with other engineers

 

Ideal Background

• You've built AI coding assistants or developer tooling before
• You have experience with, and a strong understanding of MCP
• You've designed evaluation systems for LLM-driven products
• You've worked with large codebases, compilers, or language tooling
• You've built with tool-using or agent-style models
• Production Rust experience

 

Interested in finding out more? Hit Apply!